InfoQ Homepage Netflix Content on InfoQ
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Zero to Production-Ready in Minutes
Tim Bozarth shares how Netflix is enabling engineers to go from "zero" to "production ready" in minutes - incorporating best-practices learned through years in the cloud.
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Choose Your Own Adventure: Chaos Engineering
Nora Jones talks about different experiences on "Chaos Adventures" including both successes and failures introducing Chaos in an organization.
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Scaling Event Sourcing for Netflix Downloads
Phillipa Avery and Robert Reta describe how Netflix successfully launched their Download feature with the use of a Cassandra-backed event sourcing architecture, describing the event store implemented
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The Paved PaaS to Microservices at Netflix
Yunong Xiao discusses how Netflix standardizes common functionality like service discovery, configuration, metrics, logging, and RPC, across services.
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A Series of Unfortunate Container Events @Netflix
Amit Joshi and Andrew Spyker talk about Project Titus, Netflix's container runtime on top of Amazon EC2.
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Streaming for Personalization Datasets at Netflix
Shriya Arora discusses challenges faced with stream processing unbounded datasets, comparing microbatch with event-based approaches using Spark and Flink.
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Refactoring Organizations - A Netflix Study
Josh Evans uses Netflix as a case study to illustrate how specific strategies, framed as technical analogs, have been employed to maximize engineering agility, velocity, and impact.
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BLESS: Better Security and Ops for SSH Access
Bryan Payne talks about BLESS in general: what it is, how it works, and how we can start using it. He explores the Netflix BLESS production architecture and how other companies have used BLESS.
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Real-Time Recommendations Using Spark Streaming
Elliot Chow discusses the data pipeline that they built with Kafka, Spark Streaming, and Cassandra to process Netflix user activities in real time for the Trending Now row.
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Automating Chaos Experiments in Production
Ali Basiri discusses the motivation behind ChAP (Chaos Automation Platform), how they implemented it, and how Netflix service teams are using it to identify systemic weaknesses.
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Applying Failure Testing Research @Netflix
Kolton Andrus and Peter Alvaro present how a “big idea” -- lineage-driven fault injection -- evolved from a theoretical model into an automated failure testing service at Netflix.
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Winston: Helping Netflix Engineers Sleep at Night
Sayli Karmarkar discusses Winston, a monitoring and remediation platform built for Netflix engineers.